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Intelligent Framework for Prediction of Heart Disease using Deep Learning

  • Research Article-Computer Engineering And Computer Science
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Arabian Journal for Science and Engineering Aims and scope Submit manuscript

Abstract

Heart diseases pose a serious threat. When arteries that supply oxygen and blood to the heart are completely blocked or narrowed, the cardiac issue happens. The prominent causes of death have been cardiac disease. In a short period, the mortality rate has spiked. Cardiovascular diseases refer to these heart-associated diseases. These diseases are seen more in developing rather than developed countries. Inaccurate diagnosis of the disease may cause fatalities, and hence, precision and safety in diagnosing heart disease would be the prime factor in healthcare practice. In the proposed study, deep learning-based diagnosis system for heart disease prediction is proposed. The proposed classifier model achieves the accuracy for sensitivity with 98.21% the specificity achieving the value of 97.85%, the precision value of 98.41%, recall 97.43%, and 97.09% of accuracy. The BP-NN with mRmR feature extraction obtained a high accuracy rate when compared with the BP-NN classifier without a feature selection process. From the above-obtained results, mRmR with BP-NN algorithm obtains better result compared to the existing algorithms.

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Acknowledgements

The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University for funding this work through the General Research Project under grant number (R.G.P.1/200/41).

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Authors and Affiliations

  1. Computer Science and Engineering, Shreenivasa Engineering College, Dharmapuri, India

    Sofia Mary Vincent Paul

  2. Department of Computer Science and Engineering, Sona College of Technology, Salem, India

    Sathiyabhama Balasubramaniam

  3. Sri Shakthi Institute of Engineering and Technology, Coimbatore, India

    Parthasarathy Panchatcharam

  4. Department of Computer Science and Engineering, Kyung Hee University, Yongin-si, Gyeonggi-do, South Korea

    Priyan Malarvizhi Kumar

  5. College of Computer Science and Center for Artificial Intelligence (CAI), King Khalid University, Abha, Kingdom of Saudi Arabia

    Azath Mubarakali

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  1. Sofia Mary Vincent Paul
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Correspondence to Priyan Malarvizhi Kumar.

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Vincent Paul, S.M., Balasubramaniam, S., Panchatcharam, P. et al. Intelligent Framework for Prediction of Heart Disease using Deep Learning. Arab J Sci Eng 47, 2159–2169 (2022). https://doi.org/10.1007/s13369-021-06058-9

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  • DOI: https://doi.org/10.1007/s13369-021-06058-9

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